Thomas Husken

Data Scientist at Bergens Tidende
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Contact Information
us****@****om
(386) 825-5501
Location
Bergen, Vestland, Norway, NO
Languages
  • Nederlands Native or bilingual proficiency
  • Engels Native or bilingual proficiency

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Credentials

  • Natural Language Processing Specialization
    Coursera
    May, 2021
    - Nov, 2024
  • Natural Language Processing with Attention Models
    Coursera
    May, 2021
    - Nov, 2024
  • Natural Language Processing with Probabilistic Models
    Coursera
    May, 2021
    - Nov, 2024
  • Natural Language Processing with Sequence Models
    Coursera
    May, 2021
    - Nov, 2024
  • Natural Language Processing with Classification and Vector Spaces
    Coursera
    Oct, 2020
    - Nov, 2024

Experience

  • Bergens Tidende
    • Norway
    • Newspaper Publishing
    • 100 - 200 Employee
    • Data Scientist
      • Jun 2021 - Present

      As the sole data scientist in BT, I wear many hats. Some of my projects in random order: - Various NLP projects: finetune and implement a variety of BERT models to categorise articles, recommend similar articles, and extract metadata from articles, among others. - Frontpage optimization - design, implement and analyze A/B tests for ranking of content - Schibsted AI course - instructor. BT is part of the Schibsted media group, which offers an internal AI course for its employees. I work as an instructor in this course, where I teach fundamentals about deep learning and NLP. - Create & maintain various analytical dashboards and other analytical tools - MediaFutures - industry partner. BT is a partner in the mediafutures.no research collaboration. I am involved as an industry expert in the work package focused on recommendation & personalisation. As industry expert, I supervise master students, give presentations, and provide input for the work package from a domain perspective. - Maintain & update Airflow jobs Stack: Airflow, AWS (Lambda, Sagemaker, SQS, Elasticache), Huggingface, Snowflake, Python, R. Show less

  • Objectiv
    • Netherlands
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Data Scientist
      • Jul 2019 - May 2021

      Augmented Analytics for Product Teams: in this VC-funded startup I had a versatile role as Data Scientist. Some responsibilities and projects in random order: - Generalise the codebase to scale to a larger clientbase - Clearly communicate results to the business - Introducing proper software engineering principles in the codebase (unit testing, linter, CI, OOP etc.) - Automate a variety of manual tasks Stack: Python, SQL (BigQuery), Git, Docker, Jenkins Augmented Analytics for Product Teams: in this VC-funded startup I had a versatile role as Data Scientist. Some responsibilities and projects in random order: - Generalise the codebase to scale to a larger clientbase - Clearly communicate results to the business - Introducing proper software engineering principles in the codebase (unit testing, linter, CI, OOP etc.) - Automate a variety of manual tasks Stack: Python, SQL (BigQuery), Git, Docker, Jenkins

  • UMC Utrecht
    • Netherlands
    • Hospitals and Health Care
    • 700 & Above Employee
    • Data Scientist
      • Dec 2018 - May 2019

      After completing my traineeship at Xomnia, I stayed on at the UMC Utrecht to continue work on the projects that I was involved in, as well as doing several projects for the hematology department. Some examples of the latter are:- Explore possible new biomarkers for systemic lupus erythematosus (SLE)- Unsupervised clustering of patients based on raw hematology analyzer data - Prediction of subclinical anemia

    • Trainee Data Science
      • Nov 2017 - Dec 2018

      The UMC Utrecht started an innovative programme to implement AI and predictive analytics in daily practice at the hospital. I was involved in a variety of projects during my traineeship, where I contributed to the development of:- An anomaly detection model for brain MRI scans using deep learning- A cardiovascular risk dashboard- A webapp to visualise medication history of antipsychotics

  • Xomnia
    • Netherlands
    • Information Technology & Services
    • 1 - 100 Employee
    • Trainee Data Science
      • Nov 2017 - Dec 2018

      Fresh out of an unfinished PhD, I started Xomnia's Data Science traineeship to obtain some valuable experience outside of academia and get a solid basis in Python. At some point during this year, my default language for projects switched from R to Python. This traineeship placed me at UMC Utrecht for four days a week as a data scientist. Fridays were reserved for training @ Xomnia HQ, these training focused on both hard and soft skills. In addition to my placement at UMC Utrecht, I contributed to the following projects outside the UMC: - Prediction of ICD-10 diagnoses codes (text mining/NLP - Xomnia) - Prediction of atrial fibrillation in patients with a congenital heart disease (Amsterdam UMC) Show less

  • Utrecht University
    • Netherlands
    • Higher Education
    • 700 & Above Employee
    • PhD Candidate
      • Sep 2015 - Oct 2017

      During my PhD, I worked on a models for a specific type of capture-recapture data that are used to estimate the population size of elusive or stigmatised populations. This PhD was a natural extension of my master thesis, where I developed a new outlier metric for these models. In the second year I made the difficult but wise decision to quit my PhD for a variety of reasons. During my PhD, I worked on a models for a specific type of capture-recapture data that are used to estimate the population size of elusive or stigmatised populations. This PhD was a natural extension of my master thesis, where I developed a new outlier metric for these models. In the second year I made the difficult but wise decision to quit my PhD for a variety of reasons.

  • Utrecht University
    • Netherlands
    • Higher Education
    • 700 & Above Employee
    • Student Assistant
      • Sep 2014 - May 2015

      Administrative assistance for several bachelor courses in methodology and statistics. Additionally, I coordinate one of the practical sessions for the first-year course in methodology and statistics Administrative assistance for several bachelor courses in methodology and statistics. Additionally, I coordinate one of the practical sessions for the first-year course in methodology and statistics

  • University of Twente
    • Netherlands
    • Research Services
    • 700 & Above Employee
    • Data Coder
      • Feb 2013 - Jun 2013

      Coding of data in SPSS for researchers and PhD students at the University of Twente

    • Student Assistant
      • Feb 2012 - Jun 2013

      Coördination of student practicals and grading of assignments

  • ArtEZ
    • Enschede en omgeving, Nederland
    • Minor Music - Pop
      • Sep 2010 - Feb 2011

      Elaborate minor programme at the ArtEZ conservatory of music. Elaborate minor programme at the ArtEZ conservatory of music.

Education

  • Universiteit Utrecht
    Master of Science (MSc), Methodology and Statistics for the Behavioural, Biomedical and Social Sciences
    2013 - 2015
  • Universiteit Twente / Twente University
    Bachelor of Science (BSc), Public Administration
    2008 - 2013

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